WebApr 14, 2024 · Conditional phrases provide fine-grained domain knowledge in various industries, including medicine, manufacturing, and others. Most existing knowledge extraction research focuses on mining triplets with entities and relations and treats that triplet knowledge as plain facts without considering the conditional modality of such facts. We … WebThe combination of knowledge graph and natural language processing technology has become more and more widely used, and it has become one of the areas that major search engine companies attach importance to. Despite the steady progress of scientific and technological innovation and popularization of traditional Chinese medicine(TCM) …
Question Answering System Based on Knowledge Graph in …
WebJan 18, 2024 · Technically, to translate TCM from an experience-based medicine to an evidence-based medicine system, we incorporate the pharmacology knowledge of modern Chinese medicine with the TCM … WebTraditional Chinese Medicine (TCM) knowledge graph is very important for the inheritance and development of TCM. Most TCM knowledge graphs are based on existing data and cannot be improved over time to meet users' needs for continuous updating. In this paper, we propose a dynamically growing knowledge graph construction method. ... side throw mower
MLEE: A method for extracting object-level medical knowledge graph ...
WebAug 9, 2024 · TCMKG: A Deep Learning Based Traditional Chinese Medicine Knowledge Graph Platform pp. 560-564. ICKG 2024 TOC pp. i-xi. GeLaiGeLai: A visual platform for analysis of Classical Chinese Poetry based on Knowledge Graph pp. 513-520. Conversational Music Recommendation based on Bandits pp. 41-48. WebChronic Hepatitis B in Traditional Chinese Medicine” [22] to standardize terms such as diseases and symptoms of tradi-tional Chinese medicine. 3.2. Knowledge Graph Methods 3.2.1. Knowledge Acquisition. For medical record text data, first we designed the ontology layer of knowledge graph according to the overall structure of medical record, as WebIn the era of big data, Knowledge graph is an important data resource for knowledge management and application. It has become a key technology foundation for semantic retrieval of search engine, knowledge-based reasoning and decision-making in various fields. Firstly, this paper extracts the core concepts, concept descriptions, relations … side thing trying to upgrade to the main